Yayınlanmış 1 Ocak 2021
| Sürüm v1
Dergi makalesi
Açık
B-Tensor: Brain Connectome Tensor Factorization for Alzheimer's Disease
Oluşturanlar
- 1. Bogazici Univ, VAVlab, Dept Elect & Elect Engn, TR-34342 Istanbul, Turkey
- 2. Istanbul Univ, Aziz Sancar Inst Expt Med, Dept Neurosci, TR-34093 Istanbul, Turkey
- 3. Istanbul Univ, Hulusi Behcet Life Sci Res Lab, TR-34093 Istanbul, Turkey
- 4. Bogazici Univ, Dept Phys, TR-34342 Istanbul, Turkey
- 5. Bahcesehir Univ, Fac Med, Dept Neurol, TR-34734 Istanbul, Turkey
- 6. Istanbul Univ, Dept Neurol, Fac Med, TR-34093 Istanbul, Turkey
- 7. Koc Univ, Dept Phys, TR-34450 Istanbul, Turkey
Açıklama
AD is the highly severe part of the dementia spectrum and impairs cognitive abilities of individuals, bringing economic, societal and psychological burdens beyond the diseased. A promising approach in AD research is the analysis of structural and functional brain connectomes, i.e., sNETs and fNETs, respectively. We propose to use tensor representation (B-tensor) of uni-modal and multi-modal brain connectomes to define a low-dimensional space via tensor factorization. We show on a cohort of 47 subjects, spanning the spectrum of dementia, that diagnosis with an accuracy of 77% to 100% is achievable in a 5D connectome space using different structural and functional connectome constructions in a uni-modal and multi-modal fashion. We further show that multi-modal tensor factorization improves the results suggesting complementary information in structure and function. A neurological assessment of the connectivity patterns identified largely agrees with prior knowledge, yet also suggests new associations that may play a role in the disease progress.
Dosyalar
bib-b360f348-aeda-4055-b064-190cc15500d3.txt
Dosyalar
(340 Bytes)
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